{"id":73425,"date":"2020-03-09T14:42:11","date_gmt":"2020-03-09T11:42:11","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift"},"modified":"2020-03-09T14:42:11","modified_gmt":"2020-03-09T11:42:11","slug":"istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/istyok-srok-dejstviya-patenta-na-algoritm-raspoznavaniya-obektov-sift","title":{"rendered":"Caduc\u00f3 la patente del algoritmo de reconocimiento de objetos SIFT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

El 8 de marzo expir\u00f3 la vigencia de la patente US6711293B1<\/a><\/noindex>, que describe la t\u00e9cnica SIFT<\/a><\/noindex> (Transformaci\u00f3n Invariante a Escala de Caracter\u00edsticas), dise\u00f1ada para identificar caracter\u00edsticas en im\u00e1genes. SIFT se aplica en \u00e1reas como el reconocimiento de objetos en im\u00e1genes, superposici\u00f3n de modelos 3D sobre im\u00e1genes reales en sistemas de realidad aumentada, mapeo, determinaci\u00f3n de ubicaci\u00f3n en espacio 3D y ensamblaje de panoramas. Anteriormente, el uso de SIFT en proyectos comerciales requer\u00eda la obtenci\u00f3n de una licencia o permiso, pero ahora est\u00e1 disponible para todos los interesados. <\/p>\n

Implementaci\u00f3n de SIFT se sugiere<\/a><\/noindex> en OpenCV, pero asignada al conjunto de m\u00f3dulos \u00abnon-free<\/a><\/noindex>\u00ab, que requiere<\/a><\/noindex> una inclusi\u00f3n separada. La expiraci\u00f3n de la patente permitir\u00e1 trasladar SIFT al n\u00facleo de OpenCV, as\u00ed como utilizarlo sin restricciones para el reconocimiento de patrones en proyectos libres.<\/p>\n

<\/a><\/noindex><\/p>\n

Fuente: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

8 \u043c\u0430\u0440\u0442\u0430 \u0438\u0441\u0442\u0451\u043a \u0441\u0440\u043e\u043a \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u043f\u0430\u0442\u0435\u043d\u0442\u0430 US6711293B1, \u043e\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0442\u0435\u0445\u043d\u0438\u043a\u0443 SIFT (Scale Invariant Feature Transform), \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u0443\u044e \u0434\u043b\u044f \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u0440\u0438\u0437\u043d\u0430\u043a\u043e\u0432 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445. 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